[Corpora-List] Extended Deadline ROLC special issue on Computational Models of First Language Acquisition
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pcomp at hunter.cuny.edu
Mon Nov 16 12:06:23 UTC 2009
**************** Extended deadline: December 15, 2009
*****************
Computational Models of First Language Acquisition
Special Issue of Research on Language and Computation
Call for Papers
The journal Research on Language and Computation invites submission of
papers
for a special issue on Computational Models of Language Acquisition.
Computational Models of First Language Acquisition
Special Issue of Research on Language and Computation
Editors
Alexander Clark, Department of Computer Science, Royal Holloway,
University of London
William Gregory Sakas, Hunter College and The Graduate Center,
City University of New York
Important dates
Submission of full papers: December 15, 2009
Notifications of decision: February 31, 2010
Revised versions due: May 1, 2010
Second review: July 1, 2010
Final versions: September 1, 2010
Publication: Late 2010
Background
Language acquisition has for a long time stood as one of the most
fundamental,
beguiling, and surprisingly open questions of modern science. Recent
advances in
natural language processing, statistical parsing and machine learning,
together
with the availability of large corpora of child directed speech and other
corpora,
make a wide range of computationally-oriented approaches to the study of
this
problem available. In this special issue, we will provide a forum for the full
range
of current approaches to this important field.
Psychocomputational models of language acquisition are of particular
interest in
light of recent results in developmental psychology that suggest that very
young
infants are adept at detecting statistical patterns in an audible input stream.
Though, how children might plausibly apply statistical 'machinery' to the
task of
grammar acquisition, with or without an innate language component,
remains an
open and important question. One effective line of investigation is to
computationally model the acquisition process, through simulation,
mathematically, the statistical analysis of corpora, etc., and determine
interrelationships between a model and linguistic or psycholinguistic theory,
and/or correlations between a model's performance and data from
linguistic
environments that children are
exposed to.
Topics
We aim to publish papers that describe state of the art techniques in
computational models of language acquisition. These should be
computationally
explicit but not necessarily implemented and these could be evaluated
empirically, theoretically or on the basis of a detailed case study.
This special issue should provide an interdisciplinary forum where
researchers in
theoretical linguistics, psycholinguistics, natural language processing,
grammatical
inference, machine learning and cognitive science can present research on
the
computational modelling of first language acquisition.
We welcome papers from any of the current models of linguistic theorising:
standard and enriched context free models, Principles and Parameters
models,
Optimiality theory and reseachers working within the Minimalist Program,
and
other approaches.
Topics include but are not limited to:
* Models that address the acquisition of word-order;
* Models that combine parsing and learning
* Formal learning-theoretic and grammar induction models that use
psychologically plausible models of the information available to the
learner
* Comparative surveys that critique previously reported studies
* Models that address learning bias in terms of innate linguistic knowledge
versus statistical regularity in the input
* Models that employ language modeling techniques from corpus linguistics
* Models that employ techniques from machine learning
* Models of language change and its effect on language acquisition or vice
versa
* Models that employ statistical/probabilistic grammars
* Computational models that can be used to evaluate existing linguistic or
developmental theories (e.g., principles & parameters, optimality theory,
construction grammar, etc.)
* Empirical models that make use of child-directed corpora such as
CHILDES,
or indeed adult corpora as contrasted with child-directed corpora
Instructions
Submissions should be made online using Springer's Editorial Manager
System,
available at http://www.editorialmanager.com/rolc
Length
12,000 words (approximately 30 pages) for a standard submission
4,000 words (approximately 10 pages) for a brief report
Further information
Please contact Alexander Clark (alexc @ cs.rhul.ac.uk) or William Sakas
(sakas at hunter.cuny.edu) with any further questions.
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